Quality Of Service Awareness Research Articles

QoS Aware Adaptive Service Composition

In current business scenario the business processes of enterprises are service oriented. The services of various applications are advertised in service registry using Web Service Description Language description for service selection and composition. Service composition process integrates services based on Business Process Execution Language description of composite service and executed by the orchestration coordinator. As all compliant services description are included in the description, the service selection and execution consumes more time users need select the service form set of complaint services. This study proposes an adaptive service composition methodology over extended web service Quality Aware Service Integration architecture (QASI). The proposed service composition methodology reads the composite service description and constructs a composition tree. In each service node of composition tree a service is replaced by one that satisfies functional and QoS requirement. During execution of composite service or binding of service, the parameters like server maximum capacity, current load on server and expected time for completing current load for service at each level of composition tree are analyzed. An alternative service will be allocated at particular level to improve the overall response time of composite service. The QASI architecture provides a repository to store composition tree as symbolic notations to ensure repeatability. Experimental results indicates selection of best service and better response time by proposed methodology using QASI architecture compared to contemporary web service composition methodology using static BPEL description.

Quality-Aware Service Selection for Service-Based Systems Based on Iterative Multi-Attribute Combinatorial Auction

The service-oriented paradigm offers support for engineering service-based systems (SBSs) based on service composition where existing services are composed to create new services. The selection of services with the aim to fulfil the quality constraints becomes critical and challenging to the success of SBSs, especially when the quality constraints are stringent. However, none of the existing approaches for quality-aware service composition has sufficiently considered the following two critical issues to increase the success rate of finding a solution: 1) the complementarities between services; and 2) the competition among service providers. This paper proposes a novel approach called combinatorial auction for service selection (CASS) to support effective and efficient service selection for SBSs based on combinatorial auction. In CASS, service providers can bid for combinations of services and apply discounts or premiums to their offers for the multi-dimensional quality of the services. Based on received bids, CASS attempts to find a solution that achieves the SBS owner's optimisation goal while fulfilling all quality constraints for the SBS. When a solution cannot be found based on current bids, the auction iterates so that service providers can improve their bids to increase their chances of winning. This paper systematically describes the auction process and the supporting mechanisms. Experimental results show that by exploiting the complementarities between services and the competition among service providers, CASS significantly outperforms existing quality-aware service selection approaches in finding optimal solutions and guaranteeing system optimality. Meanwhile, the duration and coordination overhead of CASS are kept at satisfactory levels in scenarios on different scales.

Traffic-Aware QoS Provisioning and Admission Control in OFDMA Hybrid Small Cells

Recent problems in wireless cellular networks, such as network capacity and indoor coverage, have been addressed by the orthogonal frequency-division multiple-access (OFDMA) small-cell deployments of next-generation Long-Term Evolution Advanced (LTE-A) cellular systems. In this new paradigm, the deployment of hybrid-access small cells can be seen as an optimal solution since they serve both the registered indoor users and unregistered neighboring users in the small-cell coverage area. However, effective quality-of-service (QoS) provisioning and fair admission control pop up as two crucial challenges in these hybrid accesses. Motivated by these challenges, in this paper, we propose a traffic-aware OFDMA hybrid small-cell deployment for QoS provisioning and an optimal admission control strategy for next-generation cellular systems. The traffic awareness in the proposed framework is provided by deriving a novel traffic-aware utility function, which differentiates the user QoS levels with the user's priority indexes, channel conditions, and traffic characteristics. An optimization procedure is formulated, and a novel heuristic is also developed to solve the traffic-aware scheduling problem under transmitted power constraints. To further enhance the proposed scheme, an admission control algorithm based on the utility function is also proposed. The proposed QoS awareness and admission control mechanism are evaluated by thorough simulations, and we show that our proposed framework achieves an optimum QoS performance in terms of total throughput and traffic delay.

Integrating QoS awareness with virtualization in cloud computing systems for delay-sensitive applications

Cloud computing provides scalable computing and storage resources over the Internet. These scalable resources can be dynamically organized as many virtual machines (VMs) to run user applications based on a pay-per-use basis. The required resources of a VM are sliced from a physical machine (PM) in the cloud computing system. A PM may hold one or more VMs. When a cloud provider would like to create a number of VMs, the main concerned issue is the VM placement problem, such that how to place these VMs at appropriate PMs to provision their required resources of VMs. However, if two or more VMs are placed at the same PM, there exists certain degree of interference between these VMs due to sharing non-sliceable resources, e.g. I/O resources. This phenomenon is called as the VM interference. The VM interference will affect the performance of applications running in VMs, especially the delay-sensitive applications. The delay-sensitive applications have quality of service (QoS) requirements in their data access delays. This paper investigates how to integrate QoS awareness with virtualization in cloud computing systems, such as the QoS-aware VM placement (QAVMP) problem. In addition to fully exploiting the resources of PMs, the QAVMP problem considers the QoS requirements of user applications and the VM interference reduction. Therefore, in the QAVMP problem, there are following three factors: resource utilization, application QoS, and VM interference. We first formulate the QAVMP problem as an Integer Linear Programming (ILP) model by integrating the three factors as the profit of cloud provider. Due to the computation complexity of the ILP model, we propose a polynomial-time heuristic algorithm to efficiently solve the QAVMP problem. In the heuristic algorithm, a bipartite graph is modeled to represent all the possible placement relationships between VMs and PMs. Then, the VMs are gradually placed at their preferable PMs to maximize the profit of cloud provider as much as possible. Finally, simulation experiments are performed to demonstrate the effectiveness of the proposed heuristic algorithm by comparing with other VM placement algorithms.

QUALITY OF SERVICE AWARE OF CROSS LAYER APPROACH ON ADAPTIVE GATEWAY DISCOVERY SCHEME FOR MOBILE AD HOC NETWORKS

The Quality of Service (QoS) providing in Mobile Ad hoc networks has been obtaining increasing importance, specifically Consider the domains of application for networks in disaster environments and defense ventures, QoS is performing level of a service recommended by the network to the consumer. Mobile Ad hoc Networks (MANET) are necessary because of wireless infrastructure network is complicated to setup for providing communication over huge areas, with the initiation of the Internet, requirement for global communication is also becoming an essential requirement for MANETs, Hence; Internet connectivity in MANETs has received considerable attention in the recent years. Routing packets effectively inside and outside a MANET is a challenge and much endeavor has been given to the design of routing protocols to attain higher Packet Delivery Ratio (PDR) over Intra-MANET and Internet-MANET. Though, most of these routing protocols use information obtainable at the network layer to route packets. This study proposed to Contention Aware QoS based Adaptive routing Protocol by manipulating the information gained at the link layer as well as to the information obtainable at the network layer to achieve higher PDR compared to existing protocols, in simulations shown that QoS aware cross layer approach can achieve higher PDR for Internet-MANET traffic.

A Network and Device Aware QoS Approach for Cloud-Based Mobile Streaming

Cloud multimedia services provide an efficient, flexible, and scalable data processing method and offer a solution for the user demands of high quality and diversified multimedia. As intelligent mobile phones and wireless networks become more and more popular, network services for users are no longer limited to the home. Multimedia information can be obtained easily using mobile devices, allowing users to enjoy ubiquitous network services. Considering the limited bandwidth available for mobile streaming and different device requirements, this study presented a network and device-aware Quality of Service (QoS) approach that provides multimedia data suitable for a terminal unit environment via interactive mobile streaming services, further considering the overall network environment and adjusting the interactive transmission frequency and the dynamic multimedia transcoding, to avoid the waste of bandwidth and terminal power. Finally, this study realized a prototype of this architecture to validate the feasibility of the proposed method. According to the experiment, this method could provide efficient self-adaptive multimedia streaming services for varying bandwidth environments.

QoS Based and Energy Aware Multi-Path Hierarchical Routing Algorithm in WSNs

In hierarchical networks, nodes are separated to play different roles such as CHs and cluster members. Each CH collects data from the cluster members within its cluster, aggregates the data and then transmits the data to the sink. Each algorithm that is used for packet routing in quality of service (QoS) based applications should be able to establish a tradeoffs between end to end delay parameter and energy consumption. Therefore, enabling QoS applications in sensor networks requires energy and QoS awareness in different layers of the protocol stack. We propose a QoS based and Energy aware Multi-path Hierarchical Routing Algorithm in wireless sensor networks namely QEMH. In this protocol, we try to satisfy the QoS requirements with the minimum energy via hierarchical methods. Our routing protocol includes two phase. In first phase, performs cluster heads election based on two parameters: node residual energy and node distance to sink. In second phase, accomplishes routes discovery using multiple criteria such as residual energy, remaining buffer size, signal-to-noise ratio and distance to sink. When each node detect an event can send data to the CH as single hop and CH to the sink along the paths. We use a weighted traffic allocation strategy to distribute the traffic amongst the available paths to improve the end to end delay and throughput. In this strategy, the CH distributes the traffic between the paths according to the end to end delay of each path. The end to end delay of each path is obtained during the paths discovery phase. QEMH maximizes the network lifetime as load balancing that causes energy consume uniformly throughout the network. Furthermore employs a queuing model to handle both real-time and non-real-time traffic. By means of simulations, we evaluate and compare the performance of our routing protocol with the MCMP and EAP protocols. Simulation results show that our proposed protocol is more efficient than those protocols in providing QoS requirements and minimizing energy consumption.

Power Aware QoS Multipath Routing Protocol for Disaster Recovery Networks

Mobile communication plays an important role in disaster recovery management during emergency situations. It is helpful in situations where the system has less robust and less flexible fixed infrastructure. The Disaster recovery management systems require timely interaction and coordination in order to save lives and property. Energy consumption in heterogeneous network is a major issue , whether they operate within a base station infrastructure , fixed network or in a free-standing Mobile Ad Hoc Network (MANET). The lifetime of network will be improved by suitably reducing the requirement of power for connections. There is a challenge to provide Quality of Service (QoS) solutions to wired cum wireless domains and maintain end-to-end QoS in ad hoc network. In this paper we propose a new protocol Power Aware QoS Multipath Routing protocol (PAQMR) for disaster recovery network. This protocol is the enhanced protocol of Ad-Hoc On Demand Multipath Distance Vector protocol (AOMDV). This routing protocol is used to avoid the loop formation in network so that it reduces congestion in the channel. The Network Simulator (NS-2.34) tool is utilized to measure the performance of AODV, AOMDV and PAQMR protocols in hybrid environment. The metrics for the simulation are energy consumption, average end to end delay and packet delivery ratio by varying the traffic load and pause time in the network. The results shows that the proposed protocol minimize the power, delay, congestion and maximize the packet delivery ratio.

Multidimensional QOS Oriented Task Scheduling in Grid Environments

High availability of resources is the key requirement in grids where computational and network resources are highly dynamic and unpredictable. QoS (Quality of Service) based resource management and scheduling is an important issue in such dynamic and heterogeneous grid environments. The computational resources in the grid vary from dedicated clusters to non-dedicated desktops which are connected over communication networks of diverse bandwidths. The task-resource mapping in such a non-deterministic computing environment leads to concerns over QoS constraints imposed by application tasks to identify suitable resources. In this paper, we consider bandwidth requirement as a QoS of a network and availability requirement as a QoS of a compute resource. An Availability aware QoS oriented Algorithm (AQuA) for task scheduling in grids has been proposed. The algorithm is evaluated and compared with QGMM (QoS Guided Min-Min) algorithm in the simulated grid environment. The experimental analysis and results show that the AQuA algorithm is able to utilize the highly available resources in grid and therefore increases the reliability to successfully execute applications without adversely affecting the makespan.

QoS Aware Energy Efficiency Analysis in the Cellular Networks

In cellular networks, maximizing the energy efficiency (EE) while satisfying certain QoS requirements is challenging. In this article, we utilize effective capacity (EC) theory as an effective means of meeting these challenges. Based on EC and taking a realistic base station (BS) power consumption model into account, we develop a novel energy efficiency (EE) metric: effective energy efficiency (EEE), to represent the delivered service bit per energy consumption at the upper layer with QoS constraints. Maximizing the EEE problem with EC constraints is addressed and then an optimal power control scheme is proposed to solve it. After that, the EEE and EC tradeoff is discussed and the effects of diverse QoS parameters on EEE are investigated through simulations, which provides insights into the quality of service (QoS) provision, and helps the system power consumption optimization.

Quality-of-Service Driven Power and Sub-Carrier Allocation Policy for Vehicular Communication Networks

To improve power efficiency in vehicle-to-roadside infrastructure (V2I) communication networks, this paper proposes a joint power and sub-carrier assignment policy under delay aware quality of service (QoS) requirements. Due to the real-time nature of the V2I transmissions, the proposed policy should satisfy delay aware QoS requirements with a minimized power consumption. In particular, we develop a cross-layer framework in which orthogonal frequency division multiplexing (OFDM) is employed at the physical layer and the proposed power and sub-carrier assignment policy works at the data link layer. Under the assumption that the instantaneous channel state information (CSI) of all users is known, the optimization problem can be formulated and solved with the help of a time-sharing factor. The obtained results show that both the optimal power allocation and the optimal sub-carrier assignment depend on the delay aware QoS requirements of each user. We also theoretically prove that the proposed power allocation policy converges to the classical water-filling policy if we do not consider the QoS requirements. Experimental results reveal that the proposed policy offers a superior performance over the existing resource allocation policies.

Reputation Improved Web Services Discovery Based on QoS

With an expanding of Web services giving same functionalities, Quality of Service (QoS) is becoming an important criterion for selection of the best available service. So users need to know QoS information and the reliability of this information .This article presents a new model of reputation improved Web services discovery considering the quality of services that include a reputation administrator to allocate reputation marks to the services based on customer feedback of their efficiency. The model is based on Service Level Agreements (SLAs) to ensure the standard of the process of discovery the quality specifications of the web services and it regulates perspectives from the two parties that is not the same and provides official definitions of quality of service (QoS) characteristics such that there is no vagueness in explaining characteristics. Practically we collected the present findings on SLA modeling and we presented a broker helps quality aware service discovery using the reputation marks in a service matching, ranking and selection algorithm based on our model.

Quality-Assured and Sociality-Enriched Multimedia Mobile Mashup

Mashups are getting more complex with the addition of rich-media and real-time services. The new research challenges will be how to guarantee the quality of the aggregated services, and how to share them in a collaborative manner. This paper presents a metadata-based mashup framework in Next Generation Wireless Network (NGWN), which guarantees the quality and supports social interactions. In contrast to existing quality-assured approaches, the proposed mashup model addresses the quality management issue from a new perspective through defining the Quality of Service (QoS) metadata into two levels: fidelity (user perspective) and modality (application perspective). The quality is assured from quality-aware service selection and quality-adaptable service delivery. Furthermore, the mashup model is extended for users to annotate services collaboratively. The annotation occurs in two ways, social tagging (e.g., rating and comments) and QoS attributes (e.g., device type and access network, etc.). In order to apply this network-independent metadata model into NGWN architecture, we further introduce a new entity named Multimedia Mashup Engine (MME) which enables seamlessly access to the services and Adaptation Decision Taking (ADT). Finally, our prototype system and the simulation results demonstrate the performance of the proposed work.

A distributed impairment aware QoS framework for all-optical networks

Different physical impairments can occur in optical transmission systems. Impairments such as fiber nonlinear effects are dependent on network state and vary with traffic and topology changes. In all-optical networks, impairments can accumulate along a lightpath and cause significant signal degradations. It is important to consider these impairments and the corresponding degradations in the routing algorithm design to provide quality of service (QoS). We propose a distributed QoS framework to achieve traffic engineering and QoS assurance for all-optical networks. Analytical models and new algorithms are designed in the framework to predict lightpath signal quality in dynamic network environments. The framework has also been used to compare performance of several routing and wavelength assignment algorithms with impairments taken into account.

Energy efficient and QoS based routing protocol for wireless sensor networks

The increasing demand for real-time applications in Wireless Sensor Networks (WSNs) has made the Quality of Service (QoS) based communication protocols an interesting and hot research topic. Satisfying Quality of Service (QoS) requirements (e.g. bandwidth and delay constraints) for the different QoS based applications of WSNs raises significant challenges. More precisely, the networking protocols need to cope up with energy constraints, while providing precise QoS guarantee. Therefore, enabling QoS applications in sensor networks requires energy and QoS awareness in different layers of the protocol stack. In many of these applications (such as multimedia applications, or real-time and mission critical applications), the network traffic is mixed of delay sensitive and delay tolerant traffic. Hence, QoS routing becomes an important issue. In this paper, we propose an Energy Efficient and QoS aware multipath routing protocol (abbreviated shortly as EQSR) that maximizes the network lifetime through balancing energy consumption across multiple nodes, uses the concept of service differentiation to allow delay sensitive traffic to reach the sink node within an acceptable delay, reduces the end to end delay through spreading out the traffic across multiple paths, and increases the throughput through introducing data redundancy. EQSR uses the residual energy, node available buffer size, and Signal-to-Noise Ratio (SNR) to predict the best next hop through the paths construction phase. Based on the concept of service differentiation, EQSR protocol employs a queuing model to handle both real-time and non-real-time traffic. By means of simulations, we evaluate and compare the performance of our routing protocol with the MCMP (Multi-Constraint Multi-Path) routing protocol. Simulation results have shown that our protocol achieves lower average delay, more energy savings, and higher packet delivery ratio than the MCMP protocol.

Power aware multiple QoS constraints routing protocol with mobility prediction for MANET

A mobile ad hoc network (MANET) is composed of mobile nodes, which do not have any fixed wired communication infrastructure. The protocol called 'Power aware Multiple Quality of Service (QoS) constraints Routing Protocol with Mobility Prediction (PMQRPMP)' is the extension of the existing protocol called 'Multiple QoS constraints Routing Protocol with Mobile Predicting (MQRPMP)'. It adds a power constraint along with QoS constraints mentioned in MQRPMP to select a best routing path among multiple paths between a source and a destination as to increase packet delivery ratio (PDR), reliability and efficiency of mobile communication. It collects the residual battery power of each node for each path; selects a path, which has nodes with good battery power for transmission to satisfy the power constraint. It uses the mobility prediction formula to find the stability of a link between two nodes.

Performance Evaluation of Energy and Delay Aware Quality of Service (QoS) Routing Protocols in Mobile Adhoc Networks

Mobile adhoc network (MANET) is a collection of mobile devices which form a communication network with no pre-existing wiring or infrastructure. Multiple routing protocols have been developed for MANETs. As MANETs gain popularity, their need to support real time applications is growing as well. Quality of service(QoS) provisioning is becoming a critical issue in designing mobile adhoc networks due to the necessity of providing multimedia applications.These applications have stringent QoS requirements such as throughput, end-to-end delay, and energy. Due to dynamic topology and bandwidth constraint supporting QoS is a challenging task. QoS aware routing is an important building block for QoS support. The primary goal of the QoS aware protocol is to determine the path from source to destination that satisfies the QoS requirements. This article proposes a new energy and delay aware protocols called, energy and delay aware Adhoc On demand Distance Vector Routing (EDAODV) and energy and delay aware Dynamic Source Routing(EDDSR) based on extension of AODV and DSR. Simulation results show that the proposed protocols have a better performance than AODV and DSR in terms of energy, packet delivery ratio and end-to-end delay.

Radio resource management in infrastructure‐based and ad hoc UWB networks

AbstractModeling the resource manager of an ultra wide band (UWB) network is the main object of this paper. The model is tested in two different application scenarios: (i) a UWB WLAN access network to a backbone where the resource management module is implemented at the access points (APs); (ii) a UWB ad hoc network for either local communications or data exchange among sensors, with peer‐to‐peer links with distributed management.The design must include a quality of service (QoS)‐aware strategy and must take into account coexistence issues raised by the use of UWB at the physical layer. Link quality is represented by the maximum end‐to‐end delay and minimum percentage of correct packets. From these parameters, the resource manager jointly selects the values of power and rate which must be adopted at the physical layer. In the model, radiated power by each device is supposed to be limited by an upper bound, reflecting thus the limitation imposed by regulation. QoS awareness and power constraints are satisfied, thanks to the implementation of an admission control function, which is centralized in the AP in the WLAN case and distributed in the ad hoc case. Major innovative aspects include: (i) taking into account UWB specific features; (ii) introducing QoS awareness based on network layer parameters rather than physical layer parameters; (iii) incorporating error protection functionalities for the optimization of transmission efficiency; (iv) considering both centralized and distributed resource management.Performance of the proposed resource manager module is evaluated in the presence of different classes of traffic, that is multimedia, voice, and data traffic. For each class of traffic, performance is expressed in terms of the maximum possible number of simultaneous connections for the WLAN case, and in terms of the effective achievable throughput for the ad hoc case. Results of simulations indicate that the behavior of the proposed scheme is strongly dependent upon the class of traffic in the WLAN scenario, while it is slightly affected by changes in traffic characteristics in the ad hoc case. Copyright © 2005 John Wiley & Sons, Ltd.

Peer-to-Peer Based Multimedia Distribution Service

Recently, there are many research interests in providing efficient and scalable multimedia distribution service. However, stringent quality-of-service (QoS) requirements for media distribution, as well as dynamically changing and heterogeneous network capacity in today's best effort Internet, bring many challenges. In this paper, we introduce a novel framework for multimedia distribution service based on peer-to-peer (P2P) networks. A topology-aware overlay is proposed in which hosts self-organize into groups. End hosts within the same group have similar network conditions and can easily collaborate with each other to achieve QoS awareness. In order to improve media delivery quality and provide high service availability, we further propose two distributed heuristic replication strategies, intergroup replication and intragroup replication, based on this topology-aware overlay. Specifically, intergroup replication is aimed to improve the efficiency of media content delivery between the group where a request is issued and the group where the content is stored. Also, intragroup replication is targeted at improving the availability of the content. Extensive simulation results show that the latency in our proposed architecture is 20% less than that of the FreeNet and 50% less than that of the randomly replication system. Simulation results also show that the video quality in our system is much better than that in the other two systems. Our P2P-based approach is also distributed, scalable, cost effective, and aware of the performance.

A novel approach for providing quality of service in multi service IP networks

Considering specific operational and corporate service requirements, this article proposes an approach for providing quality of service (QoS) in multi service networks based on the IP (Internet Protocol) technology. The basic elements of the proposed approach encompass DiffServ - aware QoS architecture, proposal for traffic classification, proposal for configuration of the data plane QoS implementation mechanisms, as well as the model of QoS control and management. Particularly, the proposed approach is applicable to private networks with specific operational and corporate needs (power utilities, traffic and transport, etc), which mandatory require different levels of QoS in order to assure stable and reliable system operation.